Human Behavior in Project Portfolio Selection: Insights from an Experimental Study

2018 ◽  
Vol 49 (6) ◽  
pp. 1061-1087 ◽  
Author(s):  
Sebastian Schiffels ◽  
Thomas Fliedner ◽  
Rainer Kolisch
Keyword(s):  
Experimental Study ◽  
Portfolio Selection ◽  
Human Behavior ◽  
Project Portfolio ◽  
Project Portfolio Selection

scholarly journals Scaling up a Project Portfolio Selection Technique by using Multiobjective Genetic Optimization

2014 ◽  
Vol 7 (4) ◽  
pp. 60-74
Author(s):  
Márcio De Oliveira Barros ◽  
Hélio Costa ◽  
Fábio Vitorino Figueiredo ◽  
Ana Regina Cavalcanti Rocha
Keyword(s):  
Genetic Algorithm ◽  
Experimental Study ◽  
Portfolio Selection ◽  
Heuristic Search ◽  
Large Scale ◽  
Random Search ◽  
Project Selection ◽  
Project Portfolio ◽  
Selection Technique ◽  
Project Portfolio Selection

This paper proposes a multiobjective heuristic search approach to support a project portfolio selection technique on scenarios with a large number of candidate projects. The original formulation for the technique requires analyzing all combinations of the candidate projects, which turns to be unfeasible when more than a few alternatives are available. We have used a multiobjective genetic algorithm to partially explore the search space of project combinations and select the most effective ones. We present an experimental study based on four real-world project selection problems that compares the results found by the genetic algorithm to those yielded by a non-systematic search procedure (random search). A second experimental study evaluates the best parameter settings to perform the heuristic search. Experimental results show evidence that the project selection technique can be used in large-scale scenarios and that the genetic algorithm presents better results than simpler search strategies.

scholarly journals A Hybrid Multi-Population Approach to the Project Portfolio Selection and Scheduling Problem for Future Force Design

IEEE Access ◽  
2021 ◽  
pp. 1-1
Author(s):  
Kyle Robert Harrison ◽  
Saber Elsayed ◽  
Ivan L. Garanovich ◽  
Terence Weir ◽  
Michael Galister ◽  
...  
Keyword(s):  
Portfolio Selection ◽  
Project Portfolio ◽  
Scheduling Problem ◽  
Population Approach ◽  
Project Portfolio Selection

scholarly journals Competence-driven project portfolio selection, scheduling and staff assignment

2009 ◽  
Author(s):  
Walter J. Gutjahr ◽  
Stefan Katzensteiner ◽  
Peter Reiter ◽  
Christian Stummer ◽  
Michaela Denk
Keyword(s):  
Portfolio Selection ◽  
Project Portfolio ◽  
Project Portfolio Selection ◽  
Staff Assignment

scholarly journals A TYPE-2 FUZZY OPTIMIZATION MODEL FOR PROJECT PORTFOLIO SELECTION AND SCHEDULING INCORPORATING PROJECT INTERDEPENDENCY AND SPLITTING

2021 ◽  
Vol 27 (2) ◽  
pp. 493-510
Author(s):  
Samaneh Zolfaghari ◽  
Seyed Meysam Mousavi ◽  
Jurgita Antuchevičienė
Keyword(s):  
Portfolio Selection ◽  
Optimization Model ◽  
Fuzzy Optimization ◽  
Project Portfolio ◽  
Time Value Of Money ◽  
Solution Approach ◽  
Project Portfolio Selection ◽  
The Interest Rate ◽  
Interval Type

This paper presents a new optimization model and a new interval type-2 fuzzy solution approach for project portfolio selection and scheduling (PPSS) problem, in which split of projects and re-execution are allowable. Afterward, the approach is realized as a multi-objective optimization that maximizes total benefits of projects concerning economic concepts by considering the interest rate and time value of money and minimizes the tardiness value and total number of interruptions of chosen projects. Besides, budget and resources limitation, newfound relations are proposed to consider dependency relationships via a synergy among projects to solve PPSS problem hiring interval type-2 fuzzy sets. For validation of the model, numerical instances are provided and solved by a new extended procedure based on fuzzy optimistic and pessimistic viewpoints regarding several situations. In the end, their results are studied. The results show that it is more beneficial when projects are allowed to be split.

Fuzzy Improvement-Project Portfolio Selection Considering Financial Performance and Customer Satisfaction

2020 ◽  
Vol 11 (2) ◽  
pp. 41-70
Author(s):  
Nantasak Tansakul ◽  
Pisal Yenradee
Keyword(s):  
Portfolio Selection ◽  
Employee Satisfaction ◽  
Significant Contribution ◽  
Fuzzy Numbers ◽  
Practical Method ◽  
Project Portfolio ◽  
Favorable Result ◽  
Triangular Fuzzy Numbers ◽  
Improvement Project ◽  
Project Portfolio Selection

This article develops a suitable and practical method for improvement-project portfolio selection under uncertainty, based on the requirements of a bank in Thailand. A significant contribution of this article is that the proposed method can determine an optimal project portfolio, to satisfy the customer/employee satisfaction targets and an investment budget constraint. This allows users to estimate parameters as triangular fuzzy numbers under pessimistic, most likely, and optimistic situations. Four mathematical models are proposed to maximize the defuzzified values of fuzzy NPV and fuzzy BCR, and to maximize the possibility that the project portfolio is economically justified under fuzzy situations of NPV and BCR. Results reveal that maximizing the defuzzified value of fuzzy NPV offers the most favorable result since it maximizes the current wealth of the bank. Additionally, the possibility that the entire project portfolio is economically justified under all fuzzy situations is relatively high for all numerical cases.

scholarly journals A project portfolio selection framework for transforming Iranian universities into entrepreneurial institutions

2020 ◽  
Vol 2 (1) ◽  
pp. 2-21
Author(s):  
Nima Golghamat Raad ◽  
Mohsen Akbarpour Shirazi
Keyword(s):  
Portfolio Selection ◽  
Project Portfolio ◽  
Risk Minimization ◽  
Content Type ◽  
Project Portfolio Selection ◽  
Performance Matrix ◽  
University Of Technology ◽  
Objective Model ◽  
Selection Framework ◽  
Almost All

PurposeThis research proposes a framework by which universities can define and implement projects that transform them into entrepreneurial universities. The framework helps decision-makers identify suitable goals and strategies, gather a list of projects to fulfill the goals and strategies and prioritize the projects and form a portfolio.Design/methodology/approachIn the proposed framework, importance–performance matrix, hierarchical strategic planning, Delphi technique, DEMATEL-based ANP and a multi-objective model are used. The mathematical model consists of four objective functions including efficiency, quality and balance maximization and also cost and risk minimization. The proposed framework is applied to Amirkabir University of Technology, Tehran, Iran, and the results are brought in this paper.FindingsThe output of the proposed framework is a portfolio of projects that aims to transform a traditional university into a third-generation one. Although the final portfolio must be customized for different universities, the proposed steps of the framework can be helpful for almost all cases.Originality/valueThe suggested framework is unique and uses both qualitative and quantitative techniques for project portfolio selection.

scholarly journals Multi objective project portfolio selection

2019 ◽  
pp. 249-256 ◽  
Author(s):  
Kamal Baqeri ◽  
Emran Mohammadi ◽  
Mahsa Mofrad Gilani
Keyword(s):  
Portfolio Selection ◽  
Project Portfolio ◽  
Multi Objective ◽  
Project Portfolio Selection
Sign in / Sign up

Export Citation Format

Share Document